التفاصيل البيبلوغرافية
| العنوان: |
Nonlinear Mapping From EMG to Prosthesis Closing Velocity Improves Force Control With EMG Biofeedback. |
| المؤلفون: |
Gasparic F, Jorgovanovic N, Hofer C, Russold MF, Koppe M, Stanisic D, Dosen S |
| المصدر: |
IEEE transactions on haptics [IEEE Trans Haptics] 2023 Jul-Sep; Vol. 16 (3), pp. 379-390. Date of Electronic Publication: 2023 Sep 19. |
| نوع المنشور: |
Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: IEEE Computer Society Country of Publication: United States NLM ID: 101491191 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2329-4051 (Electronic) Linking ISSN: 19391412 NLM ISO Abbreviation: IEEE Trans Haptics Subsets: MEDLINE |
| أسماء مطبوعة: |
Original Publication: New York : IEEE Computer Society, c2008- |
| مواضيع طبية MeSH: |
Touch Perception* , Artificial Limbs* , Amputees*, Humans ; Electromyography ; Biofeedback, Psychology ; Prosthesis Design |
| مستخلص: |
When using EMG biofeedback to control the grasping force of a myoelectric prosthesis, subjects need to activate their muscles and maintain the myoelectric signal within an appropriate interval. However, their performance decreases for higher forces, because the myoelectric signal is more variable for stronger contractions. Therefore, the present study proposes to implement EMG biofeedback using nonlinear mapping, in which EMG intervals of increasing size are mapped to equal-sized intervals of the prosthesis velocity. To validate this approach, 20 non-disabled subjects performed force-matching tasks using Michelangelo prosthesis with and without EMG biofeedback with linear and nonlinear mapping. Additionally, four transradial amputees performed a functional task in the same feedback and mapping conditions. The success rate in producing desired force was significantly higher with feedback (65.4±15.9%) compared to no feedback (46.2±14.9%) as well as when using nonlinear (62.4±16.8%) versus linear mapping (49.2±17.2%). Overall, in non-disabled subjects, the highest success rate was obtained when EMG biofeedback was combined with nonlinear mapping (72%), and the opposite for linear mapping with no feedback (39.6%). The same trend was registered also in four amputee subjects. Therefore, EMG biofeedback improved prosthesis force control, especially when combined with nonlinear mapping, which showed to be an effective approach to counteract increasing variability of myoelectric signal for stronger contractions. |
| تواريخ الأحداث: |
Date Created: 20230712 Date Completed: 20231102 Latest Revision: 20231113 |
| رمز التحديث: |
20231215 |
| DOI: |
10.1109/TOH.2023.3293545 |
| PMID: |
37436850 |
| قاعدة البيانات: |
MEDLINE |
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